控制銑削零件的精度

CNC銑削所使用的最佳化是根據銑削零件的特點. 透過對數控銑削零件製程的技術經濟分析與研究, 一個科學的, 建立合理、精準的銑削參數優化數學模型, 並採用適當的最佳化演算法.

銑削量是多少?
隨著現代製造技術的快速發展, 各種複雜成形表面、精度要求高的零件越來越多. As one of the main processing methods of this kind of parts, CNC milling processing. The choice of cutting amount will have a greater impact on processing efficiency, 工具耐用度, processing cost and processing quality.

Milling optimization model
Find a set of numerical control milling parameters that minimize the value of the objective function in the feasible area of milling parameters. 所以, the key to the optimization of CNC milling parameters is to establish the numerical relationship between the design variables, the optimization goals, and the constraints, 那是, to establish the optimization mathematical model.

In optimal design, the independent parameters that need to be optimized are called optimal design variables. The cutting parameters such as spindle speed, feed speed, milling thickness, cutting width in CNC milling are the factors that affect the realization of CNC milling goals, and are the basic control quantities in the CNC milling process. There is actually the best combination scheme between them. 所以, in the mathematical model of numerical control milling parameters optimization, the spindle speed n, the feed speed vf, the amount of back tool ap, the cutting width ae, ETC. 被使用. The cutting amount is a design variable.

Milling objective function
The objective function is a function of design variables and an index for comparing and selecting various design schemes. The objective function of numerical control milling parameter optimization should be consistent with the purpose of numerical control milling processing. The purpose of CNC machining is to maximize economic benefits, 那是, through the best combination of cutting parameters, give full play to the cutting efficiency of machine tools and tools, and under the premise of ensuring the quality of processing, reduce processing costs as much as possible and increase productivity. Both processing cost and productivity can establish a functional relationship with the cutting amount. 所以, taking processing cost and productivity as the objective function of numerical control milling consumption optimization is in line with the actual needs of production.

Constraints for milling
The choice of CNC milling amount is limited by technical conditions such as CNC machine tools, 工具, workpieces and processing quality, and the range of cutting amounts available for selection is limited. 所以, 應根據這些限制條件建立數控銑削參數最佳化的限制條件, 使優化結果與實際生產相符.

切削參數多目標最佳化背景
金屬切削加工參數的最佳化選擇對於確保加工品質具有重要意義, 提高生產力和經濟效益. 對於CNC工具機來說也特別重要, 尤其是加工中心. 由於加工過程的複雜性和不確定性, 許多工廠根據經驗選擇切削量, 但實際效果因人而異. 為了控制和保證加工質量, 充分發揮CNC工具機的能源效率, 使切削參數的選擇由經驗判斷轉變為定量分析. 借助電腦技術, 透過簡單可靠的最佳化演算法對切割參數進行最佳化，滿足切割的實際需求.

數控工具機的價格和人力成本較高, 且刀具磨損成本所佔比重較低. 所以, 在大多數材料中, 應盡可能使用高銑削量. 按照這個選擇, 可以降低工具機人工成本在零件製造成本中的比例, 這是正面的一面. 然而, 高切削消耗會降低刀具的耐用度, 需要經常更換或磨銳工具, 從而降低生產力;
切削消耗高，容易產生廢品，降低工具機的可靠性.